SuperBruceJia / Awesome-LLM-Self-ConsistencyLinks
Awesome LLM Self-Consistency: a curated list of Self-consistency in Large Language Models
☆97Updated 9 months ago
Alternatives and similar repositories for Awesome-LLM-Self-Consistency
Users that are interested in Awesome-LLM-Self-Consistency are comparing it to the libraries listed below
Sorting:
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆111Updated 10 months ago
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆130Updated last year
- Official Repo for ICLR 2024 paper MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback by Xingyao Wang*, Ziha…☆124Updated 11 months ago
- Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering☆59Updated 5 months ago
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆111Updated 8 months ago
- Code implementation of synthetic continued pretraining☆110Updated 4 months ago
- [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"☆123Updated 8 months ago
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆70Updated 9 months ago
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆68Updated last year
- Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"☆155Updated last week
- Collection of papers for scalable automated alignment.☆90Updated 7 months ago
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆57Updated 7 months ago
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆78Updated 4 months ago
- ☆67Updated last year
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆174Updated 11 months ago
- ☆94Updated last year
- Evaluating the Ripple Effects of Knowledge Editing in Language Models☆55Updated last year
- ☆97Updated last year
- Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)☆141Updated 7 months ago
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆121Updated 2 months ago
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆120Updated 8 months ago
- [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"☆54Updated last year
- ☆74Updated last year
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆62Updated 10 months ago
- Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]☆141Updated 7 months ago
- We have released the code and demo program required for LLM with self-verification☆60Updated last year
- Reference implementation for Token-level Direct Preference Optimization(TDPO)☆139Updated 3 months ago
- ☆64Updated last month
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆127Updated 10 months ago
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆61Updated 5 months ago